Inferential Statistics
Inferential statistics involves using data from a sample to infer details about a population. These guides will give you the tools you need to interpret your data and gain insight into what it all means.

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The Difference Between Type I and Type II Errors in Hypothesis Testing 
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How to Find Degrees of Freedom in Statistics 
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Explore Maximum Likelihood Estimation Examples 
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Examples of Confidence Intervals for Means 
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An Example of a Hypothesis Test 
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Confidence Intervals: 4 Common Mistakes 
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How to Calculate the Margin of Error 
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What 'Fail to Reject' Means in a Hypothesis Test 
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What Is a Sampling Distribution 
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Parametric and Nonparametric Methods in Statistics 
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Example of an ANOVA Calculation 
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Degrees of Freedom in Statistics and Mathematics 
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The Runs Test for Random Sequences 
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What Is the Difference Between Alpha and PValues? 
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What Level of Alpha Determines Statistical Significance? 
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How to Find Critical Values with a ChiSquare Table 
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What Is ANOVA? 
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The Use of Confidence Intervals in Inferential Statistics 
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Type I and Type II Errors in Statistics 
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How Large of a Sample Size Do Is Needed for a Certain Margin of Error? 
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Calculate a Confidence Interval for a Mean When You Know Sigma 
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Example of Confidence Interval for a Population Variance 
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An Example of ChiSquare Test for a Multinomial Experiment 
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Degrees of Freedom for Independence of Variables in TwoWay Table 
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Confidence Interval for the Difference of Two Population Proportions 
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Example of a Permutation Test 
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Calculating a Confidence Interval for a Mean